•Led data engineering for A/B experiment monitoring service used by product managers, engineers and data scientists to determine if mobile and backend experiments cause unintended regressions in key company metrics (Python, SQL)
•Wrote and maintained ETLs processing billions of rows daily (Python, SQL)
•Built and maintained internal operational and financial analytics dashboards used by 1000+ of global employees weekly (R/Shiny, Python, SQL)
•Established framework and reporting to quantify the quality of mobile experiments (R/Shiny, Python, SQL)
•Led data effort to identify and remove unneeded or stale feature/experiment flags across all company repos